76 to 100 of 103 Machine Learning Jobs in Surrey

from signal and evaluate information quickly Focus on business value rather than building tech for the sake of it Bonus points for AI or ML production experience including MLOps and model deployment Go, Docker, Kubernetes, infra as code Experience with healthcare standards such as FHIR, HL7 and DICOM What ...

specific training pathways that are fully government funded. Our track record (proof we can deliver) Originated at Imperial College London, where we founded the Machine Learning Society with DeepMind sponsorship and educated 6,000+ students pro bono. Selected by NVIDIA to deliver specialised training via their Deep Learning … provision. Your mandate is to protect outcomes (for learners and employers), protect funding (ESFA rules and audit readiness), and raise the bar on teaching, learning, assessment, and operational rigour so that quality scales as we scale. This is a role for someone who can operate with high autonomy ...

guild standards to ensure consistent delivery. What We're Looking For Proven experience in leading data analytics Hands-on expertise in data mining, machine learning and predictive analytics. Strong background in process mining tools like Celonis, UiPath, RE-infer, Celonis, Software AG, signavio Deep understanding of Business Process ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

technology at the core of modern AI infrastructure. Our client develops an enterprise platform that simplifies how organisations deploy, manage, and operate AI/ML workloads across Kubernetes environments. The product is designed for performance-critical AI use cases, enabling customers to run GPU-accelerated workloads at scale with reliability ...

lifecycle of high-performance GPU clusters using Terraform and Ansible. Maintain the stability and performance of large-scale Linux environments supporting AI/ML training workloads. Collaborate with vendors and internal teams to troubleshoot hardware and networking bottlenecks (latency, throughput). Implement monitoring solutions (Prometheus/Grafana) to visualise ...

voice work Marketing, communications, or audience engagement Psychology, philosophy, or behaviour-focused disciplines STEM backgrounds with strong structure and clarity Experience with AI, ML, or data-related tasks Additional Information Flexible 20–40 hours per week Remote working Opportunities for ongoing work, bonuses, and progression Please follow the Morpheus LinkedIn ...

voice work Marketing, communications, or audience engagement Psychology, philosophy, or behaviour-focused disciplines STEM backgrounds with strong structure and clarity Experience with AI, ML, or data-related tasks Additional Information Flexible 20–40 hours per week Remote working Opportunities for ongoing work, bonuses, and progression Please follow the Morpheus LinkedIn ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative … effectively. Requirements Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms ...

Define and track KPIs for adoption, automation impact, AI model usage, and user satisfaction Drive continuous improvement based on feedback, telemetry, and post-launch learning Qualifications:: Required 5+ years in product management or solution ownership in enterprise software Deep familiarity with SAP ecosystem (ECC, S/4HANA … tooling Excellent communication, prioritization, and stakeholder management skills Desirable Knowledge of SAP AI Foundation, Joule, ABAP Cloud, RAP, or Datasphere Familiarity with LLM integration, ML ops, or hyperscaler AI services Prior experience in a cloud-native SaaS environment Selected applicant will be subject to a background investigation, which will ...

using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous ...

/EU) | Outside IR35 | 6 months (likely extension) A leading UK platform is hiring 2 x Data Scientists to stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied … core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining & maintaining 13 production models Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work ...

with auditors, external assessors, and customer security teams. Nice-to-Have Prior experience building security functions in a fast-growing SaaS or AI/ML-driven company. Knowledge of AI-specific compliance and risk frameworks (NIST AI RMF, EU AI Act). Benefits Join a pioneering joint venture … intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field. ...

This isn't lecturing. You'll run interactive sessions, give deep feedback on real projects, challenge thinking, and help learners apply what they're learning directly in their roles. You'll guide them through building data governance frameworks, designing data products, making the business case for data initiatives … creating trusted, reliable data foundations Data governance — implementing frameworks that balance control with enablement Data architecture or DataOps — designing systems that scale AI/ML governance — managing risk while enabling innovation You've probably: Led or significantly contributed to data initiatives in complex organisations Built business cases for data investments ...

Kingdom Role Type – Contract Must Have Skills: Strong background in application security, cloud security, or security architecture Hands-on experience with securing AI/ML systems, including LLMs, APIs, RAG pipelines, and vector stores Deep familiarity with AI security risks and threat modeling methodologies Working knowledge of modern DevSecOps practices … tools Excellent communication and stakeholder engagement skills Responsibilities and Job Details: Design and maintain security architecture standards and patterns for AI and ML systems Conduct in-depth architecture reviews, threat modeling, and contextual risk assessments Partner with AI platform engineers, product teams, and data scientists to embed security into ...

improving accuracy, speed, compliance, or cost efficiency in legal workflows. Conduct competitive, regulatory, and market landscape analyses to inform product direction. AI/ML Product Development Partner with engineering, data science, and UX teams to translate legal problems into AI-driven solutions. Define product requirements, user stories, acceptance criteria … communication. Required Qualifications 4-8+ years of experience in product management (or equivalent role), including at least 2+ years working with AI/ML or data-driven products. Demonstrated experience in legal tech or direct exposure to the legal field (law degree, paralegal experience, legal operations, or legal tech ...

data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. UK Citizen with SC (minimum). Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support ...

collaborating within cross-functional teams (product, engineering, security, operations). Keeping up with emerging trends like orchestration, internal developer portals and AI/ML-enabled platforms. Candidates with platform product management experience or a strong product mindset in engineering are encouraged to apply. What They're Looking For Senior Consultant … c. £500k+ per year. You'll also contribute to: Business development: proposals, bids, pitches, client events Internal initiatives: thought leadership, whitepapers, communities of practice Learning & development: certifications, training, mentoring Your Profile You are a strategic, product-minded consultant with strong client-facing skills. You bring: Experience in lean process ...

collaborating within cross-functional teams (product, engineering, security, operations). Keeping up with emerging trends like orchestration, internal developer portals and AI/ML-enabled platforms. Candidates with platform product management experience or a strong product mindset in engineering are encouraged to apply. What They're Looking For Senior Consultant … c. £500k+ per year. You'll also contribute to: Business development: proposals, bids, pitches, client events Internal initiatives: thought leadership, whitepapers, communities of practice Learning & development: certifications, training, mentoring Your Profile You are a strategic, product-minded consultant with strong client-facing skills. You bring: Experience in lean process ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Woking (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

functions. Oversee the full SDLC, adopting Agile, DevOps, CI/CD and modern engineering standards. Embed an AI-first approach across product development — automation, ML, data-driven decisioning, and platform innovation. Shape the product organisation's structure, governance and culture, promoting experimentation and continuous delivery. Lead vendor partnerships and emerging … platforms or B2B technology solutions. Proven background in building and scaling product, digital, engineering or AI/automation teams. Strong fluency in AI/ML fundamentals and how to embed them into digital products. Visionary, commercially aware, and able to balance innovation with operational practicality. The company has a remote ...

functions. Oversee the full SDLC, adopting Agile, DevOps, CI/CD and modern engineering standards. Embed an AI-first approach across product development — automation, ML, data-driven decisioning, and platform innovation. Shape the product organisation's structure, governance and culture, promoting experimentation and continuous delivery. Lead vendor partnerships and emerging … platforms or B2B technology solutions. Proven background in building and scaling product, digital, engineering or AI/automation teams. Strong fluency in AI/ML fundamentals and how to embed them into digital products. Visionary, commercially aware, and able to balance innovation with operational practicality. The company has a remote ...

execution end-to-end — not just manage tickets. You'll work closely with: Fullstack Engineers (including a Tech Lead) DevOps Data Ops & ML Engineering CEO, CPO, and CTO (strategic input and alignment) You become the central execution engine, ensuring the product moves forward quickly, clearly, and with purpose. What Success … launch is a strong plus Domain & Technical Understanding Solid understanding of marketing analytics or campaign workflows Comfortable specifying requirements involving data and AI/ML concepts Confident interpreting product metrics and KPIs Ways of Working High emotional intelligence and strong communication skills Pragmatic, outcome-focused, and delivery-oriented Comfortable operating ...